Lecture Notes in Differential Equations - Bruce E. Shapiro

Lecture Notes in Differential Equations - Bruce E. Shapiro Lecture Notes in Differential Equations - Bruce E. Shapiro

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66 LESSON 9. EXACT EQUATIONS This is not the only way we could have solved the problem. We could have stated by dividing by the right-hand side, To give which is also in the desired form, but with dy = dt (9.8) 3t + y − dt + 1 dy = 0 (9.9) 3t + y M(t, y) = −1 (9.10) N(t, y) = 1 3t + y (9.11) In general there are infinitely many ways to do this conversion. Now recall from calculus that the derivative of a function φ(t, y) with respect to a third variable, say u, is given by d ∂φ dt φ(t, y) = du ∂t du + ∂φ dy ∂y du (9.12) and that the exact differential of φ(t, y) is obtained from (9.12) by multiplication by du: dφ(t, y) = ∂φ ∂t ∂φ dt + dy (9.13) ∂y We can integrate the left hand side: ∫ dφ = φ + C (9.14) If, however, the right hand side is equal to zero, so that dφ = 0, then ∫ 0 = dφ = φ + C =⇒ φ = C ′ (9.15) where C ′ = −C is still a constant. Let us summarize: for some constant C. dφ = 0 =⇒ φ = C (9.16) If dφ = 0 then the right hand side of (9.12) is also zero, hence ∂φ ∂t ∂φ dt + dy = 0 =⇒ φ = C (9.17) ∂y

67 Now compare equation (9.2) with (9.17). The earlier equation says that M(t, y)dt + N(t, y)dy = 0 (9.18) This means that if there is some function φ such that M = ∂φ ∂t and N = ∂φ ∂y Then φ = C is a solution of the differential equation. (9.19) So how do we know when equation (9.19) holds? The answer comes from taking the cross derivatives: ∂M ∂y = ∂2 φ ∂y∂t = ∂2 φ ∂t∂y = ∂N ∂t (9.20) The second equality follows because the order of partial differentiation can be reversed. Theorem 9.1. If then the differential equation ∂M ∂y = ∂N ∂t (9.21) M(t, y)dt + N(t, y)dy = 0 (9.22) is called an exact differential equation and the solution is given by some function φ(t, y) = C (9.23) where M = ∂φ ∂t and N = ∂φ ∂y We illustrate the method of solution with the following example. Example 9.2. Solve This is in the form Mdt + Ndy = 0 where (9.24) (2t + y 2 )dt + 2tydy = 0 (9.25) M(t, y) = 2t + y 2 and N(t, y) = 2ty (9.26) First we check to make sure the equation is exact: ∂M ∂y = ∂ ∂y (2t + y2 ) = 2y (9.27)

67<br />

Now compare equation (9.2) with (9.17). The earlier equation says that<br />

M(t, y)dt + N(t, y)dy = 0 (9.18)<br />

This means that if there is some function φ such that<br />

M = ∂φ<br />

∂t<br />

and N =<br />

∂φ<br />

∂y<br />

Then φ = C is a solution of the differential equation.<br />

(9.19)<br />

So how do we know when equation (9.19) holds? The answer comes from<br />

tak<strong>in</strong>g the cross derivatives:<br />

∂M<br />

∂y = ∂2 φ<br />

∂y∂t = ∂2 φ<br />

∂t∂y = ∂N<br />

∂t<br />

(9.20)<br />

The second equality follows because the order of partial differentiation can<br />

be reversed.<br />

Theorem 9.1. If<br />

then the differential equation<br />

∂M<br />

∂y = ∂N<br />

∂t<br />

(9.21)<br />

M(t, y)dt + N(t, y)dy = 0 (9.22)<br />

is called an exact differential equation and the solution is given by some<br />

function<br />

φ(t, y) = C (9.23)<br />

where<br />

M = ∂φ<br />

∂t<br />

and N =<br />

∂φ<br />

∂y<br />

We illustrate the method of solution with the follow<strong>in</strong>g example.<br />

Example 9.2. Solve<br />

This is <strong>in</strong> the form Mdt + Ndy = 0 where<br />

(9.24)<br />

(2t + y 2 )dt + 2tydy = 0 (9.25)<br />

M(t, y) = 2t + y 2 and N(t, y) = 2ty (9.26)<br />

First we check to make sure the equation is exact:<br />

∂M<br />

∂y = ∂ ∂y (2t + y2 ) = 2y (9.27)

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